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About the Role
As the Senior Machine Learning Engineer, you are an independent owner of critical Machine Learning (ML) subsystems in production. You take ambiguous problems, design practical solutions, and ship systems that operate reliably at scale. This is a hands-on, high-impact role focused on depth.
Responsibilities
- Build core Machine Learning (ML) systems that power a proactive, long-horizon Artificial Intelligence (AI) product.
- Own work end-to-end: data preparation, training, evaluation, inference, and iteration.
- Turn research ideas into working systems that run reliably in production.
- Debug model failures and system issues using real production signals.
- Iterate quickly: ship, measure outcomes, refine, and repeat.
- Collaborate closely with research, product, and engineering to deliver real user impact.
- Mentor and review work from other Machine Learning (ML) engineers through example and technical judgment.
- Work under real production constraints: latency, cost, reliability, and safety.
Requirements
- Experience building and shipping Machine Learning (ML) systems used by real users.
- Artificial Intelligence (AI) experience required.
- Experience understanding how modern Machine Learning (ML) models behave and misbehave in production.
- Experience writing strong, production-quality code and think in systems, not scripts.
- Experience taking ownership, work independently, and push work across the finish line.
- You learn fast, communicate clearly, and improve through iteration.
Skills
- GPU-based training and inference systems
- JAX
- Python
- PyTorch
Location
- San Francisco, CA
Work Type
- Remote
- Work From Home
Experience Level
- Senior
Salary/Compensations
- USD 170000 - USD 190000 - yearly
Benefits
- medical insurance
- Dental
- Vision
- Savings Plan Options
- PTO